Senior Data Scientist - Data Intelligence Team


PriceHubble is a B2B proptech company that develops valuation and analysis solutions for the residential real estate market. To get straight to the point, its solutions allow real estate professionals (investors, developers, banks, real estate agents, brokers, etc.) to evaluate their real estate assets as closely as possible, to advise their individual customers and to offer a digital and personalized experience. Big data and machine learning are at the heart of its model. PriceHubble is already present in 9 countries (Switzerland, France, Germany, Austria, Japan, the Netherlands, Belgium, Czech Republic and Slovakia) and now has more than 130 employees worldwide.

Job Description

Data is at the core of PriceHubble. We process a wide variety of data from multiple sources. As a data scientist in the data-intelligence team, you will have three main missions:

  • First, to augment the data we have via machine learning prediction.
  • Second, to develop techniques to measure, assert, and improve the quality of the data we have.
  • Third, to develop matching algorithms for linking data from heterogeneous sources.

As a senior data scientist, you are highly motivated by the following questions:

  • Before doing standard machine learning, how do I build a strong labeled data set from scratch?
  • Garbage in = garbage out; then how do I measure the quality of labels in a data set? How do I improve upon this when I have very few labels to start with?
  • How can I go from no labels to the point where state of the art Machine-Learning can finally be leveraged?
  • How to plan research projects spanning 3 months to 1 year in a way that structurally mitigates risk?
  • What should be the next steps in a research project? Where should we focus research efforts? The models, the labels/training data, feature-engineering, post-processing, or elsewhere?

These questions are, in our opinion, the new frontier in data science. You will be joining a team that specializes in this topic, with, amongst other, advanced experience in crowd-sourcing, matching problems, ensembles modeling, and statistical estimation. Our technologies and tools are just getting started; feeling excited about it? Want to be part of the adventure? Hop in!


  • Mentor more junior team members
  • Define roadmap & approaches for research projects
  • Actively mitigate risks in Machine Learning projects, by attacking high risk items first and making sure projects fail fast if likely to hit a structural blocker
  • Apply machine learning methods to augment data-sets
  • Develop and improve models for cross linking heterogeneous data sources together
  • Analyse and detect problems in our estimators
  • Correct blind spots in our data-labelling
  • Deploy, validate, and fine tune crowd-sourcing jobs for acquiring labels


  • MSc or PhD in Computer Science, Applied Mathematics or related fields; with a strong experience in machine learning and/or data science.
  • 3-5 years experience in a data-science, research (incl. PhD), or quantitative role
  • In-depth understanding of basic data structures and algorithms.
  • Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data with attention to detail and accuracy.
  • Strong programming experience with Python, and ability to write quality production code.
  • Experience with crowd-sourcing, active-learning, semi-supervised learning, ensemble-modeling or matching problems is a plus.
  • Experience with ETL and data processing tools we’re using is an advantage (pandas, airflow, PySpark).
  • Experience with standard ML frameworks is also a plus (sklearn, tensorflow, pytorch,...)
  • Comfortable working in English; you have a great read, good spoken command of it.

* We are interested in every qualified candidate who is eligible to work in the European Union but we are not able to sponsor visas.


On top of joining a team of ambitious, qualified people you may also enjoy our benefits:

🕓 Flexible work hours

💰 Competitive salary

👖 Casual dress code

📘 L&D program

🏢 Well-located offices

🍏 Free snacks, fruits, coffee, beers, sodas

Additional Information

  • Contract Type: Full-Time
  • Location: Paris, France (75002)